… a group interferes with the correct analysis of the problem and produces poor group decisions.
In … The rationale is similar to that behind modelling expert weight uncertainty. The most …

… The expert system is developed to identify the top few … Then four different fuzzy multi-attribute
group decision-making … The weight vector from Table 5 is calculated as W=(0.19;0.04;…

… group decision-making process has received an increasing attention in recent years. After
making the general survey of the existing large-scale group decision-… think that the weight of …

… For instance, existing theories usually do not permit the decision-… group decision-making,
namely, bipolar soft expert sets as a natural extension of two existing models (that is, soft expert …

… group decision accounts for raising some evaluation points, which are evaluation criteria,
feasible alternatives and decision … a fuzzyY decision matrix and determine the fuzzy weight of …

The aim of this paper is to develop a new class of operator called the induced generalized
continuous ordered weighted averaging (IGCOWA) operator, which extends the GOWA …

… an expert weight subdivision method. In this article, the weight of each expert is divided
into the weight … -making framework proposed in this article to large-scale group decision-making, …

… If α and β are too small (approximate to 0), the consensus reaching process will devalue
the experts by excluding their weight and judgment from the group decision process. …

… to solve the decision-making problems … group decision methods based on these operators
are also illustrated. Finally, in this paper an illustrative example is given to show this decision…

… and weight the expert's relevant decision … decision-making employed in this study enable
systematic and structured achievement of a group decision within the context of an expert panel…